Repository / Open Source

Public Protocols & Systems

Deep Bound Research is committed to open-source infrastructure for regulated AI autonomy.

Release Readiness

Selected public repositories and technical artifacts will be published as they pass documentation, safety, and release-readiness review.

01
Internal DraftPrivate research and development
02
Public-Safe ReviewRedaction and safety assessment
03
Open Source PreparationLicensing and documentation
04
Public PreviewLimited external review
05
ReleaseGoverned public publication

Public release follows a staged review process designed to balance transparency, reproducibility, and operational safety.

02 / Repository Index

Open Source Preparation
MIT

ACE Context Engine

A retrieval and context-ranking engine for task-aware AI execution.

Visibility
Open Source Preparation
Release
Open source preparation
License
MIT
System
ACE
Planned
Apache-2.0

Boundary Evaluation Harness

Benchmark suites for evaluating agent governance protocols.

Visibility
Planned
Release
Planned
License
Apache-2.0
System
Boundary
Active Development
CC-BY-4.0

Regulated-Actions Protocol

A protocol specification for safe tool-usage by autonomous agents.

Visibility
Public Preview
Release
Public link pending
License
CC-BY-4.0
System
Cerberus

Release Policy

We publish public-safe governance protocols, evaluation harnesses, and technical notes before exposing implementation details. Systems that remain in private research phases are summarized at the capability and principle level until they are stable, reviewed, and safe to release.

Commitment to Open Governance

While many of our core systems remain in private research phases to ensure safety and stability, we aim to release the governance protocols and evaluation harnesses that underpin them as open standards.